Trends and Determinants of Mergers and Acquisitions in the Manufacturing Sector in India
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2026.17.1.07Keywords:
Mergers and Acquisitions, Deal Size, Sector., Stake Percentage,, India, Manufacturing SectorDimensions Badge
Issue
Section
License
Copyright (c) 2026 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This article discusses the strategic rationale and impact of mergers and acquisitions (M&A) that have impacted the manufacturing sector for the years 2004-2022. It is meant to bridge the research gap in the knowledge of the role of non-financial measures such as stake percentage and business value in such transactions. The research employs a mixed-method and a rich set of data of 20 years of M&A deals. It examines the connection between the deal size and other financial and non-financial factors. The results contradict the traditional assumptions, which show that financial measures such as revenue, EBITDA and PAT do not affect the size of M&A deals. Rather, the percentage of stake and business value become the most important factors, which point to the strategic reasons of M&A decisions. The paper also reveals that there are different M&A dynamics in various manufacturing sub-sectors, which depict different strategic goals. The findings highlight the complexity of M&A activities, which are more influenced by strategic needs of entering the market and technological improvement rather than the financial ones. Such insights are essential to the industry stakeholders in order to make informed investment and strategic plans, which explains the significance of both financial and non-financial aspects of M&A transactions. The paper ends by requesting more studies to be conducted on long-term effects and qualitative nature of M&A to gain more insight into its transformational effects on manufacturing industry.Abstract
How to Cite
Downloads
Similar Articles
- Harshaben Raghubhai Pankuta, Kusum R. Yadav, Evaluating the effectiveness of the Gyankunj Project: Teachers’ perceptions from Gujarat , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Shantanu Kanade, Anuradha Kanade, Secure degree attestation and traceability verification based on zero trust using QP-DSA and RD-ECC , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- P. Janavarthini, Dr. I. Antonitte Vinoline, Green inventory model for growing items with constraints under demand uncertainty , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- K. Mohamed Arif Khan, A.R. Mohamed Shanavas, Energy efficient techniques for iot application on resource aware fog computing paradigm , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- Raja Pathak, Shweta Kumari, An investigation on the impact of vedic mathematics on higher secondary school student’s ability to expand mathematical units , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Reshmi J S, Sandhya S, Ahir embroidery of Kutch , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Yasodha V, V. Sinthu Janita, AI-driven IoT routing: A hybrid deep reinforcement learning and shrike optimization framework for energy-efficient communication , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- M. Merla Agnes Mary, S. Britto Ramesh Kumar, DAJO: A Robust Machine Learning–Based Framework for Preprocessing and Denoising Fetal ECG Signals , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
- Pragya Sharma, Anupriya Roy Srivastava, Cultural syncretism in Jhumpa Lahiri’s “Only Goodness” , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- N. Suresh Kumar, S.N.Md. Assarudeen, Solving neutrosophic multi-objective linear fractional programming problem using central measures , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
<< < 42 43 44 45 46 47 48 49 50 51 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Kapil ahuja, Ekta Rani, Soniya Devi, Exploring the dynamic landscape of environmental, social, and governance literature by using bibliometric analysis , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper

